We are using Keras, Tensorflow for creating a stock predictor model.
The date range must be 30 days or above.
The prediction is the Opening price of the day after the end_date.
How stock.py works :
- It tests the data set using
3 models (Linear Regression, AutoARIMA, LSTM)and returns the RMSE values - Then these RMSE values are compared to find the
best model. That model is used to predict the Opening price.